{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Volumes/BURDEN/WLS/BHM PSRM replication appendix.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}27 Feb 2024, 15:53:06

{com}. do "/var/folders/mc/tzgs30550xv26ss5gjhjs50r0000gn/T//SD88884.000000"
{txt}
{com}. * 4. GENERATE TABLES IN APPENDIX  
.   
. * TABLE A1. Measured Height and Party Identification without Fixed Effects  
. 
. ologit party05 measured_height age05

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-10791.471}  
Iteration 1:{space 3}log likelihood = {res:-10761.856}  
Iteration 2:{space 3}log likelihood = {res:-10761.851}  
Iteration 3:{space 3}log likelihood = {res:-10761.851}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     7,291
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}     59.24
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-10761.851{txt}{col 49}Pseudo R2{col 67}= {res}    0.0027

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        party05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2}  .040961{col 29}{space 2} .0054198{col 40}{space 1}    7.56{col 49}{space 3}0.000{col 57}{space 4} .0303385{col 70}{space 3} .0515836
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0097486{col 29}{space 2} .0051951{col 40}{space 1}    1.88{col 49}{space 3}0.061{col 57}{space 4}-.0004336{col 70}{space 3} .0199309
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} 2.375187{col 29}{space 2}  .511953{col 57}{space 4} 1.371777{col 70}{space 3} 3.378596
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 2.898398{col 29}{space 2} .5123311{col 57}{space 4} 1.894248{col 70}{space 3} 3.902549
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 3.399133{col 29}{space 2} .5128087{col 57}{space 4} 2.394047{col 70}{space 3}  4.40422
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 3.882677{col 29}{space 2}  .513232{col 57}{space 4} 2.876761{col 70}{space 3} 4.888593
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit party05 measured_height age05 if samegender==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5072.7201}  
Iteration 1:{space 3}log likelihood = {res:-5055.4257}  
Iteration 2:{space 3}log likelihood = {res:-5055.4226}  
Iteration 3:{space 3}log likelihood = {res:-5055.4226}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,420
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}     34.59
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-5055.4226{txt}{col 49}Pseudo R2{col 67}= {res}    0.0034

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        party05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0469187{col 29}{space 2} .0080103{col 40}{space 1}    5.86{col 49}{space 3}0.000{col 57}{space 4} .0312188{col 70}{space 3} .0626187
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0062993{col 29}{space 2} .0073475{col 40}{space 1}    0.86{col 49}{space 3}0.391{col 57}{space 4}-.0081015{col 70}{space 3} .0207002
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} 2.554199{col 29}{space 2} .7496392{col 57}{space 4} 1.084934{col 70}{space 3} 4.023465
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 3.056456{col 29}{space 2} .7501787{col 57}{space 4} 1.586133{col 70}{space 3} 4.526779
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 3.588125{col 29}{space 2} .7509432{col 57}{space 4} 2.116303{col 70}{space 3} 5.059946
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 4.074163{col 29}{space 2} .7516064{col 57}{space 4} 2.601042{col 70}{space 3} 5.547285
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit party05 measured_height age05 female

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-10791.471}  
Iteration 1:{space 3}log likelihood = {res:-10758.214}  
Iteration 2:{space 3}log likelihood = {res:-10758.208}  
Iteration 3:{space 3}log likelihood = {res:-10758.208}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     7,291
{txt}{col 49}LR chi2({res}3{txt}){col 67}= {res}     66.53
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-10758.208{txt}{col 49}Pseudo R2{col 67}= {res}    0.0031

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        party05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0256267{col 29}{space 2} .0078359{col 40}{space 1}    3.27{col 49}{space 3}0.001{col 57}{space 4} .0102686{col 70}{space 3} .0409849
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0086749{col 29}{space 2} .0052092{col 40}{space 1}    1.67{col 49}{space 3}0.096{col 57}{space 4}-.0015349{col 70}{space 3} .0188846
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.1657416{col 29}{space 2} .0613868{col 40}{space 1}   -2.70{col 49}{space 3}0.007{col 57}{space 4}-.2860576{col 70}{space 3}-.0454256
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} 1.206322{col 29}{space 2} .6695638{col 57}{space 4}-.1059989{col 70}{space 3} 2.518643
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 1.730346{col 29}{space 2} .6696372{col 57}{space 4} .4178809{col 70}{space 3}  3.04281
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 2.231596{col 29}{space 2} .6698548{col 57}{space 4} .9187052{col 70}{space 3} 3.544488
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 2.715189{col 29}{space 2} .6701465{col 57}{space 4} 1.401726{col 70}{space 3} 4.028652
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit party05 measured_height age05 female if samegender==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5072.7201}  
Iteration 1:{space 3}log likelihood = {res:-5053.8424}  
Iteration 2:{space 3}log likelihood = {res:-5053.8386}  
Iteration 3:{space 3}log likelihood = {res:-5053.8386}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,420
{txt}{col 49}LR chi2({res}3{txt}){col 67}= {res}     37.76
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-5053.8386{txt}{col 49}Pseudo R2{col 67}= {res}    0.0037

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        party05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0315946{col 29}{space 2} .0117424{col 40}{space 1}    2.69{col 49}{space 3}0.007{col 57}{space 4} .0085799{col 70}{space 3} .0546092
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0049523{col 29}{space 2} .0073832{col 40}{space 1}    0.67{col 49}{space 3}0.502{col 57}{space 4}-.0095185{col 70}{space 3}  .019423
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.1616978{col 29}{space 2} .0908257{col 40}{space 1}   -1.78{col 49}{space 3}0.075{col 57}{space 4}-.3397128{col 70}{space 3} .0163172
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} 1.369818{col 29}{space 2} 1.001329{col 57}{space 4}-.5927506{col 70}{space 3} 3.332386
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 1.872645{col 29}{space 2} 1.001493{col 57}{space 4}-.0902455{col 70}{space 3} 3.835535
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 2.404725{col 29}{space 2} 1.001877{col 57}{space 4} .4410828{col 70}{space 3} 4.368368
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 2.890905{col 29}{space 2} 1.002292{col 57}{space 4} .9264499{col 70}{space 3} 4.855361
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. bysort female: ologit party05 measured_height age05

{txt}{hline}
-> female = 0

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5135.4432}  
Iteration 1:{space 3}log likelihood = {res:-5129.2906}  
Iteration 2:{space 3}log likelihood = {res:-5129.2901}  
Iteration 3:{space 3}log likelihood = {res:-5129.2901}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,440
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}     12.31
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0021
{txt}Log likelihood = {res}-5129.2901{txt}{col 49}Pseudo R2{col 67}= {res}    0.0012

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        party05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0386035{col 29}{space 2} .0111875{col 40}{space 1}    3.45{col 49}{space 3}0.001{col 57}{space 4} .0166763{col 70}{space 3} .0605306
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0072384{col 29}{space 2} .0075616{col 40}{space 1}    0.96{col 49}{space 3}0.338{col 57}{space 4}-.0075821{col 70}{space 3} .0220588
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}  1.90694{col 29}{space 2} .9589704{col 57}{space 4} .0273927{col 70}{space 3} 3.786487
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 2.470402{col 29}{space 2} .9591398{col 57}{space 4} .5905229{col 70}{space 3} 4.350282
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 3.030198{col 29}{space 2}  .959593{col 57}{space 4}  1.14943{col 70}{space 3} 4.910966
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 3.592262{col 29}{space 2} .9602319{col 57}{space 4} 1.710242{col 70}{space 3} 5.474282
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline}
-> female = 1

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -5607.747}  
Iteration 1:{space 3}log likelihood = {res:-5606.2097}  
Iteration 2:{space 3}log likelihood = {res:-5606.2097}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,851
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}      3.07
{txt}{col 49}Prob > chi2{col 67}= {res}    0.2150
{txt}Log likelihood = {res}-5606.2097{txt}{col 49}Pseudo R2{col 67}= {res}    0.0003

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        party05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0141821{col 29}{space 2} .0109797{col 40}{space 1}    1.29{col 49}{space 3}0.196{col 57}{space 4}-.0073377{col 70}{space 3} .0357019
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0094825{col 29}{space 2}  .007191{col 40}{space 1}    1.32{col 49}{space 3}0.187{col 57}{space 4}-.0046115{col 70}{space 3} .0235766
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} .7689851{col 29}{space 2} .8810803{col 57}{space 4}-.9579007{col 70}{space 3} 2.495871
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 1.265236{col 29}{space 2} .8811761{col 57}{space 4}-.4618373{col 70}{space 3}  2.99231
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 1.717379{col 29}{space 2} .8814191{col 57}{space 4}-.0101705{col 70}{space 3} 3.444929
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 2.129077{col 29}{space 2} .8816967{col 57}{space 4} .4009836{col 70}{space 3} 3.857171
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. bysort female: ologit party05 measured_height age05 if samegender==1

{txt}{hline}
-> female = 0

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2387.7543}  
Iteration 1:{space 3}log likelihood = {res:-2380.5761}  
Iteration 2:{space 3}log likelihood = {res:-2380.5743}  
Iteration 3:{space 3}log likelihood = {res:-2380.5743}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,595
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}     14.36
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0008
{txt}Log likelihood = {res}-2380.5743{txt}{col 49}Pseudo R2{col 67}= {res}    0.0030

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        party05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0635096{col 29}{space 2} .0169121{col 40}{space 1}    3.76{col 49}{space 3}0.000{col 57}{space 4} .0303625{col 70}{space 3} .0966567
{txt}{space 10}age05 {c |}{col 17}{res}{space 2}  .001699{col 29}{space 2}  .011296{col 40}{space 1}    0.15{col 49}{space 3}0.880{col 57}{space 4}-.0204408{col 70}{space 3} .0238388
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}  3.24014{col 29}{space 2} 1.453276{col 57}{space 4} .3917713{col 70}{space 3} 6.088508
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 3.809079{col 29}{space 2} 1.453672{col 57}{space 4} .9599339{col 70}{space 3} 6.658224
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 4.389803{col 29}{space 2} 1.454519{col 57}{space 4} 1.538997{col 70}{space 3} 7.240609
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2}  4.96138{col 29}{space 2} 1.455797{col 57}{space 4}  2.10807{col 70}{space 3}  7.81469
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline}
-> female = 1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2658.7833}  
Iteration 1:{space 3}log likelihood = {res:-2658.5971}  
Iteration 2:{space 3}log likelihood = {res:-2658.5971}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,825
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}      0.37
{txt}{col 49}Prob > chi2{col 67}= {res}    0.8301
{txt}Log likelihood = {res}-2658.5971{txt}{col 49}Pseudo R2{col 67}= {res}    0.0001

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        party05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0031803{col 29}{space 2} .0164423{col 40}{space 1}    0.19{col 49}{space 3}0.847{col 57}{space 4} -.029046{col 70}{space 3} .0354065
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0058822{col 29}{space 2} .0097609{col 40}{space 1}    0.60{col 49}{space 3}0.547{col 57}{space 4}-.0132488{col 70}{space 3} .0250132
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} -.130882{col 29}{space 2} 1.307186{col 57}{space 4}-2.692919{col 70}{space 3} 2.431154
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} .3264585{col 29}{space 2} 1.307335{col 57}{space 4}-2.235871{col 70}{space 3} 2.888788
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} .8201624{col 29}{space 2} 1.307693{col 57}{space 4}-1.742868{col 70}{space 3} 3.383193
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2}  1.23086{col 29}{space 2} 1.307862{col 57}{space 4}-1.332502{col 70}{space 3} 3.794221
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit party11 measured_height age11

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-10709.068}  
Iteration 1:{space 3}log likelihood = {res:-10686.944}  
Iteration 2:{space 3}log likelihood = {res:-10686.942}  
Iteration 3:{space 3}log likelihood = {res:-10686.942}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     7,116
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}     44.25
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-10686.942{txt}{col 49}Pseudo R2{col 67}= {res}    0.0021

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        party11{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0343289{col 29}{space 2} .0054445{col 40}{space 1}    6.31{col 49}{space 3}0.000{col 57}{space 4} .0236577{col 70}{space 3}     .045
{txt}{space 10}age11 {c |}{col 17}{res}{space 2} .0131492{col 29}{space 2} .0051704{col 40}{space 1}    2.54{col 49}{space 3}0.011{col 57}{space 4} .0030154{col 70}{space 3}  .023283
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} 2.274146{col 29}{space 2}  .534545{col 57}{space 4} 1.226457{col 70}{space 3} 3.321835
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 2.756015{col 29}{space 2} .5349053{col 57}{space 4}  1.70762{col 70}{space 3}  3.80441
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 3.311498{col 29}{space 2} .5354698{col 57}{space 4} 2.261996{col 70}{space 3}    4.361
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 3.881955{col 29}{space 2} .5359505{col 57}{space 4} 2.831511{col 70}{space 3} 4.932399
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit party11 measured_height age11 female

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-10709.068}  
Iteration 1:{space 3}log likelihood = {res: -10682.93}  
Iteration 2:{space 3}log likelihood = {res:-10682.926}  
Iteration 3:{space 3}log likelihood = {res:-10682.926}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     7,116
{txt}{col 49}LR chi2({res}3{txt}){col 67}= {res}     52.28
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-10682.926{txt}{col 49}Pseudo R2{col 67}= {res}    0.0024

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        party11{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0181048{col 29}{space 2} .0078866{col 40}{space 1}    2.30{col 49}{space 3}0.022{col 57}{space 4} .0026474{col 70}{space 3} .0335622
{txt}{space 10}age11 {c |}{col 17}{res}{space 2} .0117563{col 29}{space 2} .0051909{col 40}{space 1}    2.26{col 49}{space 3}0.024{col 57}{space 4} .0015822{col 70}{space 3} .0219303
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.1754771{col 29}{space 2} .0619105{col 40}{space 1}   -2.83{col 49}{space 3}0.005{col 57}{space 4}-.2968194{col 70}{space 3}-.0541348
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} 1.011928{col 29}{space 2} .6947794{col 57}{space 4}-.3498143{col 70}{space 3} 2.373671
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 1.494656{col 29}{space 2} .6948417{col 57}{space 4} .1327908{col 70}{space 3}  2.85652
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 2.050898{col 29}{space 2} .6950745{col 57}{space 4}  .688577{col 70}{space 3} 3.413219
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 2.621479{col 29}{space 2} .6953891{col 57}{space 4} 1.258541{col 70}{space 3} 3.984416
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * TABLE A2. Replication of Table 2 without Fixed Effects but with Gender
. 
. * health
. ologit party05 measured_height hui05 age05 female if samegender==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-4629.3697}  
Iteration 1:{space 3}log likelihood = {res:-4608.0351}  
Iteration 2:{space 3}log likelihood = {res:-4608.0298}  
Iteration 3:{space 3}log likelihood = {res:-4608.0298}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,120
{txt}{col 49}LR chi2({res}4{txt}){col 67}= {res}     42.68
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4608.0298{txt}{col 49}Pseudo R2{col 67}= {res}    0.0046

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        party05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0264439{col 29}{space 2} .0122118{col 40}{space 1}    2.17{col 49}{space 3}0.030{col 57}{space 4} .0025092{col 70}{space 3} .0503787
{txt}{space 10}hui05 {c |}{col 17}{res}{space 2} .6130121{col 29}{space 2} .1807036{col 40}{space 1}    3.39{col 49}{space 3}0.001{col 57}{space 4} .2588395{col 70}{space 3} .9671848
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0075303{col 29}{space 2} .0077106{col 40}{space 1}    0.98{col 49}{space 3}0.329{col 57}{space 4}-.0075821{col 70}{space 3} .0226428
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.1660538{col 29}{space 2} .0940738{col 40}{space 1}   -1.77{col 49}{space 3}0.078{col 57}{space 4} -.350435{col 70}{space 3} .0183275
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} 1.677102{col 29}{space 2} 1.051739{col 57}{space 4}-.3842692{col 70}{space 3} 3.738473
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 2.198586{col 29}{space 2} 1.051945{col 57}{space 4} .1368115{col 70}{space 3}  4.26036
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 2.720584{col 29}{space 2} 1.052382{col 57}{space 4} .6579528{col 70}{space 3} 4.783214
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 3.214333{col 29}{space 2} 1.052873{col 57}{space 4}  1.15074{col 70}{space 3} 5.277926
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * weight
. ologit party05 measured_height measured_weight age05 female if samegender==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5004.4211}  
Iteration 1:{space 3}log likelihood = {res:-4985.6338}  
Iteration 2:{space 3}log likelihood = {res:  -4985.63}  
Iteration 3:{space 3}log likelihood = {res:  -4985.63}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,376
{txt}{col 49}LR chi2({res}4{txt}){col 67}= {res}     37.58
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}  -4985.63{txt}{col 49}Pseudo R2{col 67}= {res}    0.0038

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        party05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0359327{col 29}{space 2} .0123435{col 40}{space 1}    2.91{col 49}{space 3}0.004{col 57}{space 4} .0117398{col 70}{space 3} .0601256
{txt}measured_weight {c |}{col 17}{res}{space 2}-.0005452{col 29}{space 2}  .000935{col 40}{space 1}   -0.58{col 49}{space 3}0.560{col 57}{space 4}-.0023777{col 70}{space 3} .0012873
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0047437{col 29}{space 2} .0074499{col 40}{space 1}    0.64{col 49}{space 3}0.524{col 57}{space 4}-.0098578{col 70}{space 3} .0193453
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.1496029{col 29}{space 2} .0924378{col 40}{space 1}   -1.62{col 49}{space 3}0.106{col 57}{space 4}-.3307778{col 70}{space 3} .0315719
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}  1.54606{col 29}{space 2} 1.008155{col 57}{space 4}-.4298867{col 70}{space 3} 3.522008
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}  2.05078{col 29}{space 2} 1.008369{col 57}{space 4} .0744139{col 70}{space 3} 4.027147
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 2.580357{col 29}{space 2} 1.008779{col 57}{space 4}  .603187{col 70}{space 3} 4.557527
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 3.064979{col 29}{space 2} 1.009196{col 57}{space 4} 1.086992{col 70}{space 3} 5.042966
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * environmental mastery
. ologit party05 measured_height mastery05 age05 female if samegender==1 

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5019.8499}  
Iteration 1:{space 3}log likelihood = {res:-4993.5949}  
Iteration 2:{space 3}log likelihood = {res: -4993.587}  
Iteration 3:{space 3}log likelihood = {res: -4993.587}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,381
{txt}{col 49}LR chi2({res}4{txt}){col 67}= {res}     52.53
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -4993.587{txt}{col 49}Pseudo R2{col 67}= {res}    0.0052

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        party05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0276688{col 29}{space 2} .0118513{col 40}{space 1}    2.33{col 49}{space 3}0.020{col 57}{space 4} .0044406{col 70}{space 3} .0508969
{txt}{space 6}mastery05 {c |}{col 17}{res}{space 2}  .032829{col 29}{space 2} .0081932{col 40}{space 1}    4.01{col 49}{space 3}0.000{col 57}{space 4} .0167705{col 70}{space 3} .0488875
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0031511{col 29}{space 2} .0074404{col 40}{space 1}    0.42{col 49}{space 3}0.672{col 57}{space 4}-.0114319{col 70}{space 3} .0177341
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.1849013{col 29}{space 2} .0916575{col 40}{space 1}   -2.02{col 49}{space 3}0.044{col 57}{space 4}-.3645467{col 70}{space 3} -.005256
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}  1.77854{col 29}{space 2} 1.016298{col 57}{space 4}-.2133676{col 70}{space 3} 3.770448
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 2.284601{col 29}{space 2} 1.016498{col 57}{space 4}  .292302{col 70}{space 3}   4.2769
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2}  2.81981{col 29}{space 2} 1.016939{col 57}{space 4} .8266458{col 70}{space 3} 4.812975
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 3.311521{col 29}{space 2}  1.01743{col 57}{space 4} 1.317394{col 70}{space 3} 5.305648
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * birthweight
. ologit party05 measured_height birthweight age05 female if samegender==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -3287.618}  
Iteration 1:{space 3}log likelihood = {res:-3277.2323}  
Iteration 2:{space 3}log likelihood = {res:-3277.2307}  
Iteration 3:{space 3}log likelihood = {res:-3277.2307}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     2,239
{txt}{col 49}LR chi2({res}4{txt}){col 67}= {res}     20.77
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0004
{txt}Log likelihood = {res}-3277.2307{txt}{col 49}Pseudo R2{col 67}= {res}    0.0032

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        party05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0248244{col 29}{space 2} .0146879{col 40}{space 1}    1.69{col 49}{space 3}0.091{col 57}{space 4}-.0039633{col 70}{space 3} .0536122
{txt}{space 4}birthweight {c |}{col 17}{res}{space 2} .0022914{col 29}{space 2} .0017488{col 40}{space 1}    1.31{col 49}{space 3}0.190{col 57}{space 4}-.0011362{col 70}{space 3} .0057189
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0118766{col 29}{space 2} .0091182{col 40}{space 1}    1.30{col 49}{space 3}0.193{col 57}{space 4}-.0059946{col 70}{space 3} .0297479
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.1309741{col 29}{space 2} .1139087{col 40}{space 1}   -1.15{col 49}{space 3}0.250{col 57}{space 4}-.3542311{col 70}{space 3}  .092283
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} 1.661867{col 29}{space 2} 1.235223{col 57}{space 4}-.7591254{col 70}{space 3}  4.08286
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 2.152998{col 29}{space 2} 1.235528{col 57}{space 4} -.268593{col 70}{space 3} 4.574589
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2}  2.65646{col 29}{space 2} 1.235985{col 57}{space 4}  .233974{col 70}{space 3} 5.078945
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 3.121693{col 29}{space 2} 1.236435{col 57}{space 4} .6983241{col 70}{space 3} 5.545061
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * education
. ologit party05 measured_height college2005 age05 female if samegender==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-4900.6771}  
Iteration 1:{space 3}log likelihood = {res:-4882.7067}  
Iteration 2:{space 3}log likelihood = {res:-4882.7029}  
Iteration 3:{space 3}log likelihood = {res:-4882.7029}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,300
{txt}{col 49}LR chi2({res}4{txt}){col 67}= {res}     35.95
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4882.7029{txt}{col 49}Pseudo R2{col 67}= {res}    0.0037

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        party05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0319564{col 29}{space 2} .0119715{col 40}{space 1}    2.67{col 49}{space 3}0.008{col 57}{space 4} .0084927{col 70}{space 3} .0554202
{txt}{space 4}college2005 {c |}{col 17}{res}{space 2}-.0949219{col 29}{space 2} .0675856{col 40}{space 1}   -1.40{col 49}{space 3}0.160{col 57}{space 4}-.2273874{col 70}{space 3} .0375435
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0083063{col 29}{space 2} .0075824{col 40}{space 1}    1.10{col 49}{space 3}0.273{col 57}{space 4}-.0065549{col 70}{space 3} .0231675
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.1564898{col 29}{space 2}  .092013{col 40}{space 1}   -1.70{col 49}{space 3}0.089{col 57}{space 4} -.336832{col 70}{space 3} .0238524
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} 1.569502{col 29}{space 2} 1.019893{col 57}{space 4}-.4294512{col 70}{space 3} 3.568454
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 2.082361{col 29}{space 2} 1.020095{col 57}{space 4} .0830127{col 70}{space 3}  4.08171
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 2.608921{col 29}{space 2} 1.020513{col 57}{space 4} .6087526{col 70}{space 3}  4.60909
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 3.100977{col 29}{space 2} 1.020967{col 57}{space 4}  1.09992{col 70}{space 3} 5.102035
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. * personality 
. ologit party05 measured_height extra05 agree05 consc05 neurot05 ///
>   open05 age05 female if samegender==1 

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5012.7081}  
Iteration 1:{space 3}log likelihood = {res:-4966.0895}  
Iteration 2:{space 3}log likelihood = {res:-4966.0632}  
Iteration 3:{space 3}log likelihood = {res:-4966.0632}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,379
{txt}{col 49}LR chi2({res}8{txt}){col 67}= {res}     93.29
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4966.0632{txt}{col 49}Pseudo R2{col 67}= {res}    0.0093

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        party05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0329023{col 29}{space 2} .0118903{col 40}{space 1}    2.77{col 49}{space 3}0.006{col 57}{space 4} .0095977{col 70}{space 3} .0562069
{txt}{space 8}extra05 {c |}{col 17}{res}{space 2} .0173184{col 29}{space 2} .0064111{col 40}{space 1}    2.70{col 49}{space 3}0.007{col 57}{space 4} .0047529{col 70}{space 3} .0298838
{txt}{space 8}agree05 {c |}{col 17}{res}{space 2}-.0184775{col 29}{space 2} .0082878{col 40}{space 1}   -2.23{col 49}{space 3}0.026{col 57}{space 4}-.0347213{col 70}{space 3}-.0022338
{txt}{space 8}consc05 {c |}{col 17}{res}{space 2} .0173458{col 29}{space 2} .0082427{col 40}{space 1}    2.10{col 49}{space 3}0.035{col 57}{space 4} .0011904{col 70}{space 3} .0335012
{txt}{space 7}neurot05 {c |}{col 17}{res}{space 2} -.028634{col 29}{space 2} .0079414{col 40}{space 1}   -3.61{col 49}{space 3}0.000{col 57}{space 4}-.0441988{col 70}{space 3}-.0130691
{txt}{space 9}open05 {c |}{col 17}{res}{space 2}-.0471824{col 29}{space 2}  .007304{col 40}{space 1}   -6.46{col 49}{space 3}0.000{col 57}{space 4}-.0614979{col 70}{space 3}-.0328668
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0025641{col 29}{space 2}  .007514{col 40}{space 1}    0.34{col 49}{space 3}0.733{col 57}{space 4}-.0121631{col 70}{space 3} .0172912
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.1082819{col 29}{space 2}  .092693{col 40}{space 1}   -1.17{col 49}{space 3}0.243{col 57}{space 4}-.2899568{col 70}{space 3}  .073393
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} .2332937{col 29}{space 2} 1.087908{col 57}{space 4}-1.898966{col 70}{space 3} 2.365553
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} .7404377{col 29}{space 2} 1.087889{col 57}{space 4}-1.391786{col 70}{space 3} 2.872662
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 1.279822{col 29}{space 2} 1.088063{col 57}{space 4}-.8527412{col 70}{space 3} 3.412386
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 1.776137{col 29}{space 2} 1.088334{col 57}{space 4}-.3569595{col 70}{space 3} 3.909233
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.   
. * TABLE A3. Measured Height and Ideology without Fixed Effects  
.   
. ologit ideo05 measured_height age05

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-11972.034}  
Iteration 1:{space 3}log likelihood = {res:-11924.231}  
Iteration 2:{space 3}log likelihood = {res: -11924.19}  
Iteration 3:{space 3}log likelihood = {res: -11924.19}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     7,423
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}     95.69
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -11924.19{txt}{col 49}Pseudo R2{col 67}= {res}    0.0040

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         ideo05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0470049{col 29}{space 2} .0054074{col 40}{space 1}    8.69{col 49}{space 3}0.000{col 57}{space 4} .0364067{col 70}{space 3} .0576032
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0267015{col 29}{space 2} .0051886{col 40}{space 1}    5.15{col 49}{space 3}0.000{col 57}{space 4} .0165321{col 70}{space 3}  .036871
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} .4497761{col 29}{space 2} .5206507{col 57}{space 4}-.5706805{col 70}{space 3} 1.470233
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 2.613392{col 29}{space 2} .5119364{col 57}{space 4} 1.610015{col 70}{space 3} 3.616769
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2}  3.42474{col 29}{space 2} .5118035{col 57}{space 4} 2.421624{col 70}{space 3} 4.427856
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2}  5.01309{col 29}{space 2} .5136733{col 57}{space 4} 4.006308{col 70}{space 3} 6.019871
{txt}{space 10}/cut5 {c |}{col 17}{res}{space 2} 5.823848{col 29}{space 2} .5149222{col 57}{space 4} 4.814619{col 70}{space 3} 6.833077
{txt}{space 10}/cut6 {c |}{col 17}{res}{space 2} 8.487429{col 29}{space 2} .5207859{col 57}{space 4} 7.466707{col 70}{space 3}  9.50815
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit ideo05 measured_height age05 if samegender==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5622.6073}  
Iteration 1:{space 3}log likelihood = {res:-5602.4988}  
Iteration 2:{space 3}log likelihood = {res:-5602.4838}  
Iteration 3:{space 3}log likelihood = {res:-5602.4838}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,487
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}     40.25
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-5602.4838{txt}{col 49}Pseudo R2{col 67}= {res}    0.0036

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         ideo05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0455283{col 29}{space 2} .0079216{col 40}{space 1}    5.75{col 49}{space 3}0.000{col 57}{space 4} .0300023{col 70}{space 3} .0610544
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0235212{col 29}{space 2} .0072552{col 40}{space 1}    3.24{col 49}{space 3}0.001{col 57}{space 4} .0093012{col 70}{space 3} .0377412
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} .1134043{col 29}{space 2} .7532684{col 57}{space 4}-1.362975{col 70}{space 3} 1.589783
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 2.283572{col 29}{space 2}  .739835{col 57}{space 4} .8335223{col 70}{space 3} 3.733622
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 3.108457{col 29}{space 2} .7395305{col 57}{space 4} 1.659003{col 70}{space 3}  4.55791
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 4.674638{col 29}{space 2} .7420509{col 57}{space 4} 3.220245{col 70}{space 3} 6.129031
{txt}{space 10}/cut5 {c |}{col 17}{res}{space 2} 5.498859{col 29}{space 2} .7439472{col 57}{space 4}  4.04075{col 70}{space 3} 6.956969
{txt}{space 10}/cut6 {c |}{col 17}{res}{space 2} 8.201131{col 29}{space 2} .7528501{col 57}{space 4} 6.725572{col 70}{space 3}  9.67669
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit ideo05 measured_height age05 female

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-11972.034}  
Iteration 1:{space 3}log likelihood = {res:-11889.717}  
Iteration 2:{space 3}log likelihood = {res:-11889.598}  
Iteration 3:{space 3}log likelihood = {res:-11889.598}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     7,423
{txt}{col 49}LR chi2({res}3{txt}){col 67}= {res}    164.87
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-11889.598{txt}{col 49}Pseudo R2{col 67}= {res}    0.0069

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         ideo05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2}-.0001171{col 29}{space 2} .0078093{col 40}{space 1}   -0.01{col 49}{space 3}0.988{col 57}{space 4}-.0154231{col 70}{space 3} .0151889
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0233759{col 29}{space 2}    .0052{col 40}{space 1}    4.50{col 49}{space 3}0.000{col 57}{space 4} .0131841{col 70}{space 3} .0335678
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.5058181{col 29}{space 2} .0608566{col 40}{space 1}   -8.31{col 49}{space 3}0.000{col 57}{space 4}-.6250949{col 70}{space 3}-.3865413
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-3.158211{col 29}{space 2} .6762964{col 57}{space 4}-4.483728{col 70}{space 3}-1.832695
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-.9925464{col 29}{space 2} .6693848{col 57}{space 4}-2.304517{col 70}{space 3} .3194238
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2}-.1784906{col 29}{space 2} .6690066{col 57}{space 4}-1.489719{col 70}{space 3} 1.132738
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 1.420204{col 29}{space 2} .6692987{col 57}{space 4} .1084023{col 70}{space 3} 2.732005
{txt}{space 10}/cut5 {c |}{col 17}{res}{space 2} 2.237165{col 29}{space 2} .6696536{col 57}{space 4}  .924668{col 70}{space 3} 3.549662
{txt}{space 10}/cut6 {c |}{col 17}{res}{space 2} 4.909034{col 29}{space 2} .6733042{col 57}{space 4} 3.589382{col 70}{space 3} 6.228685
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit ideo05 measured_height age05 female if samegender==1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5622.6073}  
Iteration 1:{space 3}log likelihood = {res:  -5583.64}  
Iteration 2:{space 3}log likelihood = {res:-5583.5852}  
Iteration 3:{space 3}log likelihood = {res:-5583.5852}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,487
{txt}{col 49}LR chi2({res}3{txt}){col 67}= {res}     78.04
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-5583.5852{txt}{col 49}Pseudo R2{col 67}= {res}    0.0069

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         ideo05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2}-.0065951{col 29}{space 2} .0115755{col 40}{space 1}   -0.57{col 49}{space 3}0.569{col 57}{space 4}-.0292826{col 70}{space 3} .0160924
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0185249{col 29}{space 2} .0072917{col 40}{space 1}    2.54{col 49}{space 3}0.011{col 57}{space 4} .0042333{col 70}{space 3} .0328164
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.5519849{col 29}{space 2} .0898507{col 40}{space 1}   -6.14{col 49}{space 3}0.000{col 57}{space 4} -.728089{col 70}{space 3}-.3758808
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-3.961269{col 29}{space 2}  1.00156{col 57}{space 4}-5.924291{col 70}{space 3}-1.998248
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-1.789251{col 29}{space 2} .9912182{col 57}{space 4}-3.732003{col 70}{space 3} .1535013
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2}-.9616148{col 29}{space 2} .9905831{col 57}{space 4}-2.903122{col 70}{space 3} .9798925
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2}  .616501{col 29}{space 2}  .990642{col 57}{space 4}-1.325122{col 70}{space 3} 2.558124
{txt}{space 10}/cut5 {c |}{col 17}{res}{space 2} 1.448591{col 29}{space 2} .9910058{col 57}{space 4}-.4937447{col 70}{space 3} 3.390927
{txt}{space 10}/cut6 {c |}{col 17}{res}{space 2} 4.160845{col 29}{space 2} .9962115{col 57}{space 4} 2.208306{col 70}{space 3} 6.113383
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. bysort female: ologit ideo05 measured_height age05

{txt}{hline}
-> female = 0

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5621.1937}  
Iteration 1:{space 3}log likelihood = {res:-5618.5806}  
Iteration 2:{space 3}log likelihood = {res:-5618.5804}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,508
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}      5.23
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0733
{txt}Log likelihood = {res}-5618.5804{txt}{col 49}Pseudo R2{col 67}= {res}    0.0005

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         ideo05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0121007{col 29}{space 2} .0109179{col 40}{space 1}    1.11{col 49}{space 3}0.268{col 57}{space 4}-.0092979{col 70}{space 3} .0334993
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0156225{col 29}{space 2} .0074442{col 40}{space 1}    2.10{col 49}{space 3}0.036{col 57}{space 4} .0010321{col 70}{space 3} .0302128
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-2.534268{col 29}{space 2} .9474308{col 57}{space 4}-4.391198{col 70}{space 3}-.6773375
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-.5437935{col 29}{space 2} .9370145{col 57}{space 4}-2.380308{col 70}{space 3} 1.292721
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} .2812567{col 29}{space 2} .9360228{col 57}{space 4}-1.553314{col 70}{space 3} 2.115828
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 1.705174{col 29}{space 2}  .936352{col 57}{space 4}-.1300419{col 70}{space 3} 3.540391
{txt}{space 10}/cut5 {c |}{col 17}{res}{space 2} 2.540392{col 29}{space 2} .9371846{col 57}{space 4}  .703544{col 70}{space 3}  4.37724
{txt}{space 10}/cut6 {c |}{col 17}{res}{space 2} 5.388238{col 29}{space 2} .9427577{col 57}{space 4} 3.540467{col 70}{space 3} 7.236009
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline}
-> female = 1

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6259.2646}  
Iteration 1:{space 3}log likelihood = {res:-6248.8318}  
Iteration 2:{space 3}log likelihood = {res:-6248.8266}  
Iteration 3:{space 3}log likelihood = {res:-6248.8266}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,915
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}     20.88
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-6248.8266{txt}{col 49}Pseudo R2{col 67}= {res}    0.0017

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         ideo05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2}-.0126522{col 29}{space 2} .0111981{col 40}{space 1}   -1.13{col 49}{space 3}0.259{col 57}{space 4}-.0346001{col 70}{space 3} .0092957
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} .0309919{col 29}{space 2} .0072957{col 40}{space 1}    4.25{col 49}{space 3}0.000{col 57}{space 4} .0166926{col 70}{space 3} .0452911
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-3.149418{col 29}{space 2} .9134864{col 57}{space 4}-4.939818{col 70}{space 3}-1.359018
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-.8523414{col 29}{space 2} .9038522{col 57}{space 4}-2.623859{col 70}{space 3} .9191764
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2}-.0475575{col 29}{space 2} .9036413{col 57}{space 4}-1.818662{col 70}{space 3} 1.723547
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 1.686684{col 29}{space 2} .9043713{col 57}{space 4}-.0858509{col 70}{space 3} 3.459219
{txt}{space 10}/cut5 {c |}{col 17}{res}{space 2} 2.486793{col 29}{space 2} .9047053{col 57}{space 4} .7136034{col 70}{space 3} 4.259983
{txt}{space 10}/cut6 {c |}{col 17}{res}{space 2} 4.941039{col 29}{space 2} .9098076{col 57}{space 4} 3.157849{col 70}{space 3} 6.724229
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit ideo11 measured_height age11

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-12090.016}  
Iteration 1:{space 3}log likelihood = {res:-12057.308}  
Iteration 2:{space 3}log likelihood = {res:-12057.291}  
Iteration 3:{space 3}log likelihood = {res:-12057.291}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     7,222
{txt}{col 49}LR chi2({res}2{txt}){col 67}= {res}     65.45
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-12057.291{txt}{col 49}Pseudo R2{col 67}= {res}    0.0027

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         ideo11{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} .0358965{col 29}{space 2} .0054135{col 40}{space 1}    6.63{col 49}{space 3}0.000{col 57}{space 4} .0252863{col 70}{space 3} .0465066
{txt}{space 10}age11 {c |}{col 17}{res}{space 2} .0264215{col 29}{space 2} .0050916{col 40}{space 1}    5.19{col 49}{space 3}0.000{col 57}{space 4} .0164421{col 70}{space 3} .0364008
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} .4208394{col 29}{space 2} .5358705{col 57}{space 4}-.6294475{col 70}{space 3} 1.471126
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 2.256765{col 29}{space 2} .5314388{col 57}{space 4} 1.215164{col 70}{space 3} 3.298366
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2} 2.940259{col 29}{space 2} .5314222{col 57}{space 4}  1.89869{col 70}{space 3} 3.981827
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 4.312554{col 29}{space 2} .5326648{col 57}{space 4}  3.26855{col 70}{space 3} 5.356558
{txt}{space 10}/cut5 {c |}{col 17}{res}{space 2} 4.890242{col 29}{space 2} .5334056{col 57}{space 4} 3.844786{col 70}{space 3} 5.935697
{txt}{space 10}/cut6 {c |}{col 17}{res}{space 2} 7.251831{col 29}{space 2} .5371865{col 57}{space 4} 6.198964{col 70}{space 3} 8.304697
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit ideo11 measured_height age11 female

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-12090.016}  
Iteration 1:{space 3}log likelihood = {res:-12033.878}  
Iteration 2:{space 3}log likelihood = {res:-12033.828}  
Iteration 3:{space 3}log likelihood = {res:-12033.828}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     7,222
{txt}{col 49}LR chi2({res}3{txt}){col 67}= {res}    112.38
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-12033.828{txt}{col 49}Pseudo R2{col 67}= {res}    0.0046

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         ideo11{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2}-.0034231{col 29}{space 2}  .007879{col 40}{space 1}   -0.43{col 49}{space 3}0.664{col 57}{space 4}-.0188656{col 70}{space 3} .0120194
{txt}{space 10}age11 {c |}{col 17}{res}{space 2} .0232404{col 29}{space 2} .0051102{col 40}{space 1}    4.55{col 49}{space 3}0.000{col 57}{space 4} .0132246{col 70}{space 3} .0332562
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.4226205{col 29}{space 2} .0617567{col 40}{space 1}   -6.84{col 49}{space 3}0.000{col 57}{space 4}-.5436614{col 70}{space 3}-.3015796
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2}-2.633376{col 29}{space 2}  .696304{col 57}{space 4}-3.998107{col 70}{space 3}-1.268645
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}-.7954278{col 29}{space 2} .6926393{col 57}{space 4}-2.152976{col 70}{space 3} .5621204
{txt}{space 10}/cut3 {c |}{col 17}{res}{space 2}-.1101701{col 29}{space 2} .6924029{col 57}{space 4}-1.467255{col 70}{space 3} 1.246915
{txt}{space 10}/cut4 {c |}{col 17}{res}{space 2} 1.267723{col 29}{space 2} .6925973{col 57}{space 4}-.0897432{col 70}{space 3} 2.625188
{txt}{space 10}/cut5 {c |}{col 17}{res}{space 2} 1.848484{col 29}{space 2} .6928036{col 57}{space 4} .4906139{col 70}{space 3} 3.206354
{txt}{space 10}/cut6 {c |}{col 17}{res}{space 2} 4.217128{col 29}{space 2} .6947929{col 57}{space 4} 2.855359{col 70}{space 3} 5.578898
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * TABLE A4. “First Stage” Relationships between Height and Income/Wealth
. 
. regress thi05 measured_height age05

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     8,365
{txt}{hline 13}{c +}{hline 34}   F(2, 8362)      = {res}   149.79
{txt}       Model {c |} {res} 2007645.27         2  1003822.63   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 56040000.2     8,362  6701.74602   {txt}R-squared       ={res}    0.0346
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0344
{txt}       Total {c |} {res} 58047645.5     8,364   6940.1776   {txt}Root MSE        =   {res} 81.864

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          thi05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} 3.469023{col 29}{space 2} .2292808{col 40}{space 1}   15.13{col 49}{space 3}0.000{col 57}{space 4} 3.019576{col 70}{space 3}  3.91847
{txt}{space 10}age05 {c |}{col 17}{res}{space 2}-1.510873{col 29}{space 2} .2150985{col 40}{space 1}   -7.02{col 49}{space 3}0.000{col 57}{space 4}-1.932519{col 70}{space 3}-1.089226
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-60.87878{col 29}{space 2} 21.56034{col 40}{space 1}   -2.82{col 49}{space 3}0.005{col 57}{space 4}-103.1424{col 70}{space 3}-18.61516
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress worth05 measured_height age05

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     8,245
{txt}{hline 13}{c +}{hline 34}   F(2, 8242)      = {res}    71.33
{txt}       Model {c |} {res}  200522943         2   100261471   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1.1585e+10     8,242  1405560.77   {txt}R-squared       ={res}    0.0170
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0168
{txt}       Total {c |} {res} 1.1785e+10     8,244  1429543.28   {txt}Root MSE        =   {res} 1185.6

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        worth05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} 39.91714{col 29}{space 2} 3.342143{col 40}{space 1}   11.94{col 49}{space 3}0.000{col 57}{space 4}  33.3657{col 70}{space 3} 46.46859
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} 3.732641{col 29}{space 2} 3.143363{col 40}{space 1}    1.19{col 49}{space 3}0.235{col 57}{space 4}-2.429141{col 70}{space 3} 9.894423
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-2198.436{col 29}{space 2} 314.7291{col 40}{space 1}   -6.99{col 49}{space 3}0.000{col 57}{space 4}-2815.384{col 70}{space 3}-1581.487
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress thi05 measured_height age05 female

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     8,365
{txt}{hline 13}{c +}{hline 34}   F(3, 8361)      = {res}   111.16
{txt}       Model {c |} {res} 2226444.97         3  742148.324   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 55821200.5     8,361  6676.37848   {txt}R-squared       ={res}    0.0384
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0380
{txt}       Total {c |} {res} 58047645.5     8,364   6940.1776   {txt}Root MSE        =   {res} 81.709

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          thi05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} 2.089575{col 29}{space 2} .3323168{col 40}{space 1}    6.29{col 49}{space 3}0.000{col 57}{space 4} 1.438152{col 70}{space 3} 2.740998
{txt}{space 10}age05 {c |}{col 17}{res}{space 2}-1.609964{col 29}{space 2} .2153876{col 40}{space 1}   -7.47{col 49}{space 3}0.000{col 57}{space 4}-2.032177{col 70}{space 3}-1.187751
{txt}{space 9}female {c |}{col 17}{res}{space 2}-14.88061{col 29}{space 2} 2.599368{col 40}{space 1}   -5.72{col 49}{space 3}0.000{col 57}{space 4}-19.97601{col 70}{space 3}-9.785201
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 44.42966{col 29}{space 2} 28.31045{col 40}{space 1}    1.57{col 49}{space 3}0.117{col 57}{space 4}-11.06582{col 70}{space 3} 99.92515
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress worth05 measured_height age05 female

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     8,245
{txt}{hline 13}{c +}{hline 34}   F(3, 8241)      = {res}    53.73
{txt}       Model {c |} {res}  226093607         3  75364535.8   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1.1559e+10     8,241  1402628.47   {txt}R-squared       ={res}    0.0192
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0188
{txt}       Total {c |} {res} 1.1785e+10     8,244  1429543.28   {txt}Root MSE        =   {res} 1184.3

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        worth05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} 24.89643{col 29}{space 2} 4.850016{col 40}{space 1}    5.13{col 49}{space 3}0.000{col 57}{space 4} 15.38918{col 70}{space 3} 34.40368
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} 2.675686{col 29}{space 2} 3.149824{col 40}{space 1}    0.85{col 49}{space 3}0.396{col 57}{space 4}-3.498763{col 70}{space 3} 8.850135
{txt}{space 9}female {c |}{col 17}{res}{space 2}-162.0732{col 29}{space 2} 37.95871{col 40}{space 1}   -4.27{col 49}{space 3}0.000{col 57}{space 4}-236.4818{col 70}{space 3}-87.66453
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1053.133{col 29}{space 2} 413.2789{col 40}{space 1}   -2.55{col 49}{space 3}0.011{col 57}{space 4}-1863.264{col 70}{space 3}-243.0027
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. bysort female: regress thi05 measured_height age05

{txt}{hline}
-> female = 0

      Source {c |}       SS           df       MS      Number of obs   ={res}     3,933
{txt}{hline 13}{c +}{hline 34}   F(2, 3930)      = {res}    24.15
{txt}       Model {c |} {res}  421812.85         2  210906.425   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}   34324187     3,930  8733.88981   {txt}R-squared       ={res}    0.0121
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0116
{txt}       Total {c |} {res} 34745999.8     3,932  8836.72426   {txt}Root MSE        =   {res} 93.455

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          thi05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} 2.969667{col 29}{space 2} .5348963{col 40}{space 1}    5.55{col 49}{space 3}0.000{col 57}{space 4} 1.920966{col 70}{space 3} 4.018367
{txt}{space 10}age05 {c |}{col 17}{res}{space 2}-1.230504{col 29}{space 2} .3519621{col 40}{space 1}   -3.50{col 49}{space 3}0.000{col 57}{space 4} -1.92055{col 70}{space 3}-.5404585
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-41.02964{col 29}{space 2} 45.72239{col 40}{space 1}   -0.90{col 49}{space 3}0.370{col 57}{space 4}-130.6715{col 70}{space 3} 48.61221
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline}
-> female = 1

      Source {c |}       SS           df       MS      Number of obs   ={res}     4,432
{txt}{hline 13}{c +}{hline 34}   F(2, 4429)      = {res}    37.37
{txt}       Model {c |} {res} 361738.699         2   180869.35   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 21435702.9     4,429  4839.85163   {txt}R-squared       ={res}    0.0166
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0162
{txt}       Total {c |} {res} 21797441.6     4,431  4919.30525   {txt}Root MSE        =   {res} 69.569

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          thi05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} 1.192238{col 29}{space 2} .4021287{col 40}{space 1}    2.96{col 49}{space 3}0.003{col 57}{space 4}  .403865{col 70}{space 3} 1.980611
{txt}{space 10}age05 {c |}{col 17}{res}{space 2}-1.977895{col 29}{space 2}  .256772{col 40}{space 1}   -7.70{col 49}{space 3}0.000{col 57}{space 4}-2.481297{col 70}{space 3}-1.474494
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 110.3775{col 29}{space 2} 32.14872{col 40}{space 1}    3.43{col 49}{space 3}0.001{col 57}{space 4} 47.34992{col 70}{space 3}  173.405
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. bysort female: regress worth05 measured_height age05

{txt}{hline}
-> female = 0

      Source {c |}       SS           df       MS      Number of obs   ={res}     3,887
{txt}{hline 13}{c +}{hline 34}   F(2, 3884)      = {res}    10.48
{txt}       Model {c |} {res} 40077863.1         2  20038931.5   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 7.4252e+09     3,884  1911746.74   {txt}R-squared       ={res}    0.0054
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0049
{txt}       Total {c |} {res} 7.4653e+09     3,886  1921076.22   {txt}Root MSE        =   {res} 1382.7

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        worth05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} 34.52913{col 29}{space 2} 7.979334{col 40}{space 1}    4.33{col 49}{space 3}0.000{col 57}{space 4} 18.88505{col 70}{space 3} 50.17321
{txt}{space 10}age05 {c |}{col 17}{res}{space 2} 10.41812{col 29}{space 2} 5.241368{col 40}{space 1}    1.99{col 49}{space 3}0.047{col 57}{space 4} .1420207{col 70}{space 3} 20.69421
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-2223.087{col 29}{space 2} 681.2433{col 40}{space 1}   -3.26{col 49}{space 3}0.001{col 57}{space 4}-3558.716{col 70}{space 3}-887.4586
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline}
-> female = 1

      Source {c |}       SS           df       MS      Number of obs   ={res}     4,358
{txt}{hline 13}{c +}{hline 34}   F(2, 4355)      = {res}     4.97
{txt}       Model {c |} {res} 9410420.71         2  4705210.35   {txt}Prob > F        ={res}    0.0070
{txt}    Residual {c |} {res} 4.1214e+09     4,355  946358.694   {txt}R-squared       ={res}    0.0023
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0018
{txt}       Total {c |} {res} 4.1308e+09     4,357  948084.125   {txt}Root MSE        =   {res} 972.81

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        worth05{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
measured_height {c |}{col 17}{res}{space 2} 15.10499{col 29}{space 2} 5.654075{col 40}{space 1}    2.67{col 49}{space 3}0.008{col 57}{space 4} 4.020131{col 70}{space 3} 26.18986
{txt}{space 10}age05 {c |}{col 17}{res}{space 2}-4.869419{col 29}{space 2} 3.630919{col 40}{space 1}   -1.34{col 49}{space 3}0.180{col 57}{space 4}-11.98787{col 70}{space 3} 2.249031
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-102.1887{col 29}{space 2} 452.8439{col 40}{space 1}   -0.23{col 49}{space 3}0.821{col 57}{space 4}-989.9931{col 70}{space 3} 785.6158
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * TABLE A5: Descriptive Statistics in Full WLS Sample
. 
. summ party05 party11 ideo05 ideo11 measured_height age05 age11 female ///
>    hui05 birthweight measured_weight mastery05 college2005 extra05 agree05 ///
>    consc05 neurot05 open05 thi05 worth05

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}party05 {c |}{res}      9,942    3.160933    1.671868          1          5
{txt}{space 5}party11 {c |}{res}      7,591    3.127651    1.650061          1          5
{txt}{space 6}ideo05 {c |}{res}     10,082    4.471037      1.3128          1          7
{txt}{space 6}ideo11 {c |}{res}      7,698    4.521174    1.470645          1          7
{txt}measured_h~t {c |}{res}      8,976    65.93338    3.915111       41.5       81.5
{txt}{hline 13}{c +}{hline 57}
{space 7}age05 {c |}{res}     18,432    65.64057    5.285407         45         87
{txt}{space 7}age11 {c |}{res}     18,432    71.64057    5.285407         51         93
{txt}{space 6}female {c |}{res}     19,046     .506038    .4999767          0          1
{txt}{space 7}hui05 {c |}{res}     10,824    .8381292    .2006025       -.23          1
{txt}{space 1}birthweight {c |}{res}      7,033    118.9374    22.72923         19        284
{txt}{hline 13}{c +}{hline 57}
measured_w~t {c |}{res}      8,877    185.3312     39.3668        120        280
{txt}{space 3}mastery05 {c |}{res}     10,545    24.23623    4.005646          1         30
{txt}{space 1}college2005 {c |}{res}     11,392    .2901159    .4538356          0          1
{txt}{space 5}extra05 {c |}{res}     10,616    22.31603    5.286896          1         36
{txt}{space 5}agree05 {c |}{res}     10,615    28.28526    4.540858          1         36
{txt}{hline 13}{c +}{hline 57}
{space 5}consc05 {c |}{res}     10,614    28.33107    4.390256          1         36
{txt}{space 4}neurot05 {c |}{res}     10,598    15.12748    4.552326          1         30
{txt}{space 6}open05 {c |}{res}     10,607    20.98369    4.739113          1         36
{txt}{space 7}thi05 {c |}{res}     11,396    64.06303    80.23251          0        710
{txt}{space 5}worth05 {c |}{res}     11,181    631.2099    1140.083          0      12000
{txt}
{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Volumes/BURDEN/WLS/BHM PSRM replication appendix.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}27 Feb 2024, 15:53:18
{txt}{.-}
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{txt}{sf}{ul off}